code: def forward(self, inputs):
      y = self.conv0(inputs)
      conv1 = self.conv1(y)
      conv2 = self.conv2(conv1)
  
      if self.shortcut:
          short = inputs
      else:
          short = self.short(inputs)
  
      y = self.add(short, conv2)
      y = self.relu(y)
      return y
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the BottleneckBlock obj's underlying member method code with example usage: obj.forward(inputs) and returns: y